George Magoulas
Professor of Computer Science, Director of Birkbeck Knowledge Lab, Director of Teaching QualityTeaches: Concepts of Machine Learning, Machine Learning
George has a BEng/MEng (Systems & Control) and a PhD (Nonlinear optimisation algorithms for neural networks learning) from the Electrical and Computer Engineering Department of the University of Patras, Greece, and a PGCE (Higher Education) from Brunel University. He developed embedded systems for the cement (1990-1993) and automotive (1997-1998) industries using soft computing and machine learning-based methodologies. He held research and academic posts at the University of Athens and Brunel University before coming to Birkbeck in 2004. His current interests are in machine intelligence and the design of intelligent architectures; the design of components for intelligent systems that employ machine learning methods, mostly artificial neural networks and deep learning; learning technologies.
Contact Information
- Room
- MAL264
- Telephone
- 020 3926 1250
- Email address
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- Personal web page
- http://www.dcs.bbk.ac.uk/~gmagoulas
Research
Areas of interest: Computational models of learning and cognition, artificial neural networks and deep learning, evolutionary computing, learning technologies, bio-inspired machine learning, software engineering for AI and machine learning systems.
Research groups
PhD Students
Key Publications
- Neural adaptive admission control framework: SLA-driven action termination for real-time application service management. (2021)
- Evolving Connectionist Models to Capture Population Variability across Language Development: Modeling Children's Past Tense Formation. (2020)
- Customised ensemble methodologies for deep learning: Boosted Residual Networks and related approaches. (2019)
- The cloudUPDRS app: A medical device for the clinical assessment of Parkinson's Disease. (2018)
- Bounding the Search Space for Global Optimization of Neural Networks Learning Error: An Interval Analysis Approach. (2016)